Data processing method and device, electronic equipment and storage medium

Abstract

The invention discloses a data processing method and device, electronic equipment and a storage medium. The method comprises the steps that a data processing page is displayed; receiving a target data set, wherein the target data set comprises a plurality of candidate data; displaying a data table corresponding to the candidate data in the data processing page based on association information between the candidate data; in response to a selection operation for the candidate data, determining the selected candidate data as target data; and in response to the operation for the data consistency control in the data processing page, performing data consistency processing on the target data and the associated candidate data thereof, so that the target data is consistent with the associated candidate data, and the scheme can improve the auditing efficiency.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular, to a data processing method, apparatus, electronic device, and storage medium. Background technique [0002] Database Consistency means that the result of transaction execution must be to change the database from one consistent state to another consistent state. Guaranteed database consistency means that all data must have a consistent state when a transaction completes. [0003] Many Internet application scenarios (such as insurance purchase scenarios, bank lending scenarios, advertisement placement scenarios, etc.) require database consistency. For example, in bank lending scenarios, it is necessary to ensure that the resource data received by the payee and the resources lent by the borrower Data consistency. At present, the audit of database consistency is performed manually by auditors. Auditors need to spend a lot of time to determine the business rules and de...

AI Technical Summary

Problems solved by technology

[0003] Many Internet application scenarios (such as insurance purchase scenarios, bank lending scenarios, advertising scenarios, etc.) require database consistency. For example, in bank lending scenarios, it is necessary to ensure that the resource data received by the payee is consistent with the resources lent by the borrower Data consistency. At present, the audit of database consistency is performed manually by auditors. Auditors need to spend a lot of time to determine the business rules and description information corresponding to the stored data. Therefore, the audit efficiency of the current audit scheme is low.

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